Voltage Stabilization of A DC-Microgrid Using ANFIS Controller Considering Electrical Vehicles and Transient Storage

In this paper, we proposed a DC-microgrid with four main elements for Voltage stabilization. This research also presented a cost function that will guarantee the lifecycle of the EVs' battery because we use a Super Capacitor to damp the transient Ripples of Bus Voltage. This DCMG has four main branches: Ballast, Random Load, Random Source, and Stabilizer. The Random Source is photovoltaic, and the Random Load includes consumers. The three first branches make the DCMG go to the destabilization mode, and the last one has to stabilize its role in this DCMG. The controller consists of a fuzzy inference system optimized using PSO (Particle Swarm Optimization) algorithm, so this controller adjusts the duty cycle of three main branches in the stabilization branch of this DCMG. It is a MIMO ANFIS controller, and we compared the results of this controller with other controllers. In this research, we have designed three scenarios to verify the results: production more than consumption, vice versa, and equality between production and consumption. In this paper, the efficiency of this method -- using ANFIS controller -- in comparison with others -- using another type of controller -- will evaluate under different operating conditions, production and consumption inequality, and equality.Comment: 19 pages, 27 figure